MacBook Pro M1 Pro MacBook Pro (14-inch, 2021)
Geekbench AI Score
7548
Single Precision Score
8686
Half Precision Score
7340
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ndelettre |
| Upload Date | December 07 2024 02:44 PM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3719
691.7 IPS |
|
|
Image Classification (HP)
|
100% |
3801
706.9 IPS |
|
|
Image Classification (Q)
|
97% |
3154
588.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5819
94.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5854
94.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5808
94.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29766
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31288
36.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
29060
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
3680
291.9 IPS |
|
|
Object Detection (HP)
|
100% |
3891
308.6 IPS |
|
|
Object Detection (Q)
|
91% |
3222
257.4 IPS |
|
|
Face Detection (SP)
|
100% |
13061
155.2 IPS |
|
|
Face Detection (HP)
|
100% |
13429
159.6 IPS |
|
|
Face Detection (Q)
|
100% |
9510
113.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17303
133.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17799
137.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
14691
114.8 IPS |
|
|
Style Transfer (SP)
|
100% |
50076
64.4 IPS |
|
|
Style Transfer (HP)
|
100% |
59010
75.9 IPS |
|
|
Style Transfer (Q)
|
96% |
54883
70.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10433
385.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10826
399.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8488
313.4 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3934
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3932
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1503
25.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1035
17.9 IPS |
