MacBook Pro (14-inch, 2021)
Geekbench AI Score
3760
Single Precision Score
5853
Half Precision Score
4769
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 10:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1345
250.1 IPS |
|
|
Image Classification (HP)
|
100% |
2036
378.6 IPS |
|
|
Image Classification (Q)
|
96% |
1491
278.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2674
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11109
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22293
26.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17370
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
97% |
2352
187.2 IPS |
|
|
Object Detection (Q)
|
94% |
1722
137.2 IPS |
|
|
Face Detection (SP)
|
100% |
3364
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
5398
64.1 IPS |
|
|
Face Detection (Q)
|
100% |
3180
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5901
45.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10867
84.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7377
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22262
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35089
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27300
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4346
160.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6177
228.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4113
151.9 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3972
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3982
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3426
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3774
65.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4868
84.1 IPS |
