MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
824
Single Precision Score
767
Half Precision Score
408
Quantized Score
Geekbench AI 1.7.0 for macOS AVX2
Result Information
| User | warp0519 |
| Upload Date | February 22 2026 02:23 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) Iris(TM) Plus Graphics |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | MacBook Pro (13-inch Mid 2020) |
| Model ID | MacBookPro16,2 |
| Motherboard | Apple Inc. Mac-5F9802EFE386AA28 MacBookPro16,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1068NG7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 3733 MT/s |
| Type | LPDDR4X |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
589
109.5 IPS |
|
|
Image Classification (HP)
|
100% |
542
100.8 IPS |
|
|
Image Classification (Q)
|
96% |
110
20.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
265
4.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
250
4.05 IPS |
|
|
Image Segmentation (Q)
|
99% |
153
2.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
2670
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2624
3.06 IPS |
|
|
Pose Estimation (Q)
|
95% |
1246
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
528
41.9 IPS |
|
|
Object Detection (HP)
|
100% |
472
37.4 IPS |
|
|
Object Detection (Q)
|
93% |
115
9.16 IPS |
|
|
Face Detection (SP)
|
100% |
1776
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
1681
20.0 IPS |
|
|
Face Detection (Q)
|
100% |
216
2.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1702
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1578
12.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
1532
12.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3814
4.90 IPS |
|
|
Style Transfer (HP)
|
100% |
3748
4.82 IPS |
|
|
Style Transfer (Q)
|
96% |
3658
4.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
868
32.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
842
31.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
790
29.2 IPS |
|
|
Text Classification (SP)
|
100% |
215
287.1 IPS |
|
|
Text Classification (HP)
|
100% |
218
290.6 IPS |
|
|
Text Classification (Q)
|
93% |
205
275.1 IPS |
|
|
Machine Translation (SP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (HP)
|
100% |
231
3.98 IPS |
|
|
Machine Translation (Q)
|
98% |
277
4.79 IPS |
