MacBook Pro (16-inch, 2021)
Geekbench AI Score
8092
Single Precision Score
9189
Half Precision Score
8154
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | jmsolomon2000 |
| Upload Date | November 12 2024 07:11 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4061
755.3 IPS |
|
|
Image Classification (HP)
|
100% |
4206
782.1 IPS |
|
|
Image Classification (Q)
|
97% |
3554
663.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6379
103.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6523
105.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6476
105.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
32897
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34879
40.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
32385
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
3972
315.0 IPS |
|
|
Object Detection (HP)
|
100% |
4166
330.5 IPS |
|
|
Object Detection (Q)
|
91% |
3488
278.7 IPS |
|
|
Face Detection (SP)
|
100% |
13958
165.9 IPS |
|
|
Face Detection (HP)
|
100% |
14783
175.6 IPS |
|
|
Face Detection (Q)
|
100% |
10698
127.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19843
152.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20797
160.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
17306
135.3 IPS |
|
|
Style Transfer (SP)
|
100% |
53862
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
63917
82.2 IPS |
|
|
Style Transfer (Q)
|
96% |
59908
77.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10732
396.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11499
424.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8880
327.9 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3957
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3888
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1205
20.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1306
22.6 IPS |
