MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3187
Single Precision Score
15910
Half Precision Score
15552
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 02:00 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1417
263.5 IPS |
|
|
Image Classification (HP)
|
100% |
6264
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5942
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1342
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9680
156.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10034
162.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6318
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
68726
80.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66622
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
99% |
7473
594.5 IPS |
|
|
Object Detection (Q)
|
91% |
6769
540.9 IPS |
|
|
Face Detection (SP)
|
100% |
2987
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
16840
200.1 IPS |
|
|
Face Detection (Q)
|
100% |
15503
184.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5682
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48478
373.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
48893
382.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16989
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122037
156.9 IPS |
|
|
Style Transfer (Q)
|
96% |
115266
148.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3664
135.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23401
864.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24102
890.0 IPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3927
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3825
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2509
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3646
62.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3824
66.1 IPS |
