MacBook Pro (16-inch, 2021)
Geekbench AI Score
3625
Single Precision Score
5695
Half Precision Score
4675
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 11 2024 12:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1289
239.7 IPS |
|
|
Image Classification (HP)
|
100% |
1980
368.2 IPS |
|
|
Image Classification (Q)
|
96% |
1457
272.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1490
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2638
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10964
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21368
24.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17407
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.3 IPS |
|
|
Object Detection (HP)
|
97% |
2305
183.5 IPS |
|
|
Object Detection (Q)
|
94% |
1729
137.8 IPS |
|
|
Face Detection (SP)
|
100% |
3114
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
5008
59.5 IPS |
|
|
Face Detection (Q)
|
100% |
3139
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5953
45.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10870
84.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7386
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21603
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33664
43.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26716
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4298
158.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6212
229.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3967
146.5 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3934
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3901
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3175
54.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3519
60.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4503
77.8 IPS |
