MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3098
Single Precision Score
14270
Half Precision Score
14646
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | November 21 2024 04:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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 | 3.18 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1337
248.7 IPS |
|
|
Image Classification (HP)
|
100% |
5968
1.11 KIPS |
|
|
Image Classification (Q)
|
99% |
6207
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1321
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8308
134.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
8352
135.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6522
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
66796
77.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
65971
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
1287
102.1 IPS |
|
|
Object Detection (HP)
|
99% |
6530
519.4 IPS |
|
|
Object Detection (Q)
|
91% |
6355
507.8 IPS |
|
|
Face Detection (SP)
|
100% |
2714
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
10401
123.6 IPS |
|
|
Face Detection (Q)
|
100% |
11376
135.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5795
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
43321
333.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
47158
364.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16808
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
117902
151.6 IPS |
|
|
Style Transfer (Q)
|
100% |
122592
157.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3713
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24330
898.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24177
895.7 IPS |
|
|
Text Classification (SP)
|
100% |
2267
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3927
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3903
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2469
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3191
55.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3369
58.2 IPS |
