MacBook Pro (16-inch, 2021)
Geekbench AI Score
1959
Single Precision Score
12695
Half Precision Score
13146
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 02:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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% |
877
163.0 IPS |
|
|
Image Classification (HP)
|
100% |
7073
1.32 KIPS |
|
|
Image Classification (Q)
|
99% |
7471
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3865
62.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
3862
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9666
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
68675
80.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
64290
75.4 IPS |
|
|
Object Detection (SP)
|
100% |
1023
81.1 IPS |
|
|
Object Detection (HP)
|
99% |
7487
595.5 IPS |
|
|
Object Detection (Q)
|
93% |
7266
579.8 IPS |
|
|
Face Detection (SP)
|
100% |
1809
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
10663
126.7 IPS |
|
|
Face Detection (Q)
|
100% |
11805
140.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3284
25.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
46207
356.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
49296
381.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11836
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
117115
150.6 IPS |
|
|
Style Transfer (Q)
|
100% |
122161
157.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2182
80.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18827
695.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
22883
847.8 IPS |
|
|
Text Classification (SP)
|
100% |
872
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3332
4.45 KIPS |
|
|
Text Classification (Q)
|
93% |
3281
4.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1131
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2137
36.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2144
37.0 IPS |
