MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2584
Single Precision Score
12518
Half Precision Score
13438
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | October 15 2025 04:56 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5062e) |
| 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% |
1259
234.1 IPS |
|
|
Image Classification (HP)
|
100% |
5585
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
6396
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1237
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7536
122.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
7445
120.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5826
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
66798
77.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
64392
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1370
108.7 IPS |
|
|
Object Detection (HP)
|
99% |
6679
531.3 IPS |
|
|
Object Detection (Q)
|
91% |
6294
502.9 IPS |
|
|
Face Detection (SP)
|
100% |
2857
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
10129
120.4 IPS |
|
|
Face Detection (Q)
|
100% |
10320
122.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4357
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
40062
308.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
44252
342.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16177
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
117369
150.9 IPS |
|
|
Style Transfer (Q)
|
100% |
121904
156.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3248
119.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22972
848.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
22342
827.7 IPS |
|
|
Text Classification (SP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (HP)
|
99% |
2264
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3584
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2079
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2032
35.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2232
38.6 IPS |
