MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
596
Single Precision Score
409
Half Precision Score
313
Quantized Score
Geekbench AI 1.7.0 for macOS AVX2
Result Information
| User | warp0519 |
| Upload Date | February 22 2026 02:14 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-1068NG7 |
| 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% |
272
50.6 IPS |
|
|
Image Classification (HP)
|
100% |
213
39.6 IPS |
|
|
Image Classification (Q)
|
96% |
130
24.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
320
5.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
268
4.35 IPS |
|
|
Image Segmentation (Q)
|
99% |
197
3.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
1449
1.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
414
0.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
414
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
284
22.5 IPS |
|
|
Object Detection (HP)
|
100% |
215
17.1 IPS |
|
|
Object Detection (Q)
|
92% |
152
12.1 IPS |
|
|
Face Detection (SP)
|
100% |
706
8.39 IPS |
|
|
Face Detection (HP)
|
100% |
570
6.78 IPS |
|
|
Face Detection (Q)
|
100% |
265
3.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
713
5.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
686
5.28 IPS |
|
|
Depth Estimation (Q)
|
85% |
495
3.87 IPS |
|
|
Style Transfer (SP)
|
100% |
2199
2.83 IPS |
|
|
Style Transfer (HP)
|
100% |
1624
2.09 IPS |
|
|
Style Transfer (Q)
|
96% |
1371
1.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
850
31.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
332
12.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
251
9.26 IPS |
|
|
Text Classification (SP)
|
100% |
423
564.1 IPS |
|
|
Text Classification (HP)
|
100% |
325
434.2 IPS |
|
|
Text Classification (Q)
|
93% |
322
432.7 IPS |
|
|
Machine Translation (SP)
|
100% |
399
6.88 IPS |
|
|
Machine Translation (HP)
|
100% |
384
6.61 IPS |
|
|
Machine Translation (Q)
|
98% |
393
6.79 IPS |
