MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3075
Single Precision Score
14962
Half Precision Score
14552
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | comediante |
| Upload Date | January 04 2026 01:48 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | MacBook Pro (13-inch Late 2020) |
| Model ID | MacBookPro17,1 |
| Motherboard | MacBookPro17,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1312
243.9 IPS |
|
|
Image Classification (HP)
|
100% |
6285
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5960
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1301
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8968
145.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9254
150.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5962
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
67619
78.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
64532
75.6 IPS |
|
|
Object Detection (SP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (HP)
|
99% |
6929
551.2 IPS |
|
|
Object Detection (Q)
|
91% |
6329
505.7 IPS |
|
|
Face Detection (SP)
|
100% |
2947
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
13588
161.5 IPS |
|
|
Face Detection (Q)
|
100% |
12822
152.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5457
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
46109
355.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
46077
360.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16453
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121353
156.0 IPS |
|
|
Style Transfer (Q)
|
96% |
114800
148.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3458
127.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24172
892.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24328
898.3 IPS |
|
|
Text Classification (SP)
|
100% |
2389
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4156
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
3985
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2458
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2788
48.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2876
49.7 IPS |
