MacBook Pro (16-inch, 2021)
Geekbench AI Score
3536
Single Precision Score
5520
Half Precision Score
4551
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | rolinster |
| Upload Date | September 30 2024 06:45 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1318
245.0 IPS |
|
|
Image Classification (HP)
|
100% |
1993
370.7 IPS |
|
|
Image Classification (Q)
|
96% |
1456
271.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2329
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2680
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10931
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20573
24.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16619
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
97% |
2277
181.3 IPS |
|
|
Object Detection (Q)
|
94% |
1650
131.5 IPS |
|
|
Face Detection (SP)
|
100% |
3077
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
5098
60.6 IPS |
|
|
Face Detection (Q)
|
100% |
2986
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5720
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9988
77.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7143
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20549
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32288
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24428
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3273
120.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5982
220.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3898
143.9 IPS |
|
|
Text Classification (SP)
|
100% |
2189
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3644
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3652
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3204
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3375
58.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4803
83.0 IPS |
