MacBook Pro (16-inch, 2021)
Geekbench AI Score
3715
Single Precision Score
5697
Half Precision Score
4871
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ardenvohr |
| Upload Date | August 15 2024 07:39 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5298h) |
| 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 | 3.14 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1329
247.2 IPS |
|
|
Image Classification (HP)
|
100% |
1978
367.9 IPS |
|
|
Image Classification (Q)
|
99% |
2014
375.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1637
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
2319
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11169
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21818
25.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
16669
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
97% |
2347
186.8 IPS |
|
|
Object Detection (Q)
|
94% |
1740
138.7 IPS |
|
|
Face Detection (SP)
|
100% |
3171
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
5375
63.9 IPS |
|
|
Face Detection (Q)
|
100% |
3043
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5814
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10847
83.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
10800
83.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22301
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35229
45.3 IPS |
|
|
Style Transfer (Q)
|
100% |
35189
45.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4369
161.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6257
231.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4002
148.3 IPS |
|
|
Text Classification (SP)
|
100% |
2203
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3667
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3643
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3307
57.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3274
56.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3296
57.0 IPS |
