MacBook Pro (14-inch, 2021)
Geekbench AI Score
3751
Single Precision Score
14777
Half Precision Score
14574
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 10:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1351
251.2 IPS |
|
|
Image Classification (HP)
|
100% |
6969
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6629
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1590
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6474
105.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6787
110.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11002
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
70165
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65782
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
99% |
8021
638.1 IPS |
|
|
Object Detection (Q)
|
91% |
7552
603.4 IPS |
|
|
Face Detection (SP)
|
100% |
3255
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
16095
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
15098
179.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5977
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51568
397.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
53591
418.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22521
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120725
155.2 IPS |
|
|
Style Transfer (Q)
|
96% |
115984
149.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4353
160.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25912
956.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28054
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3977
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3896
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1894
32.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1886
32.6 IPS |
