MacBook Pro (14-inch, 2021)
Geekbench AI Score
3770
Single Precision Score
5813
Half Precision Score
4787
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | mezorn26 |
| Upload Date | December 08 2024 09:35 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1328
247.0 IPS |
|
|
Image Classification (HP)
|
100% |
2045
380.2 IPS |
|
|
Image Classification (Q)
|
96% |
1489
278.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2679
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11107
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22348
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17406
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (HP)
|
97% |
2364
188.2 IPS |
|
|
Object Detection (Q)
|
94% |
1727
137.6 IPS |
|
|
Face Detection (SP)
|
100% |
3283
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
5264
62.5 IPS |
|
|
Face Detection (Q)
|
100% |
3213
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6005
46.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11021
85.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7488
58.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22613
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35651
45.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27567
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4374
161.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6141
226.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4045
149.4 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4064
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
3990
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3446
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3399
58.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4930
85.2 IPS |
