MacBook Pro (14-inch, 2021)
Geekbench AI Score
3757
Single Precision Score
5841
Half Precision Score
4766
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | collverab3 |
| Upload Date | November 04 2024 05:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.13 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
2059
383.0 IPS |
|
|
Image Classification (Q)
|
96% |
1450
270.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1645
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2372
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2692
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11132
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22096
25.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17735
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1599
126.8 IPS |
|
|
Object Detection (HP)
|
97% |
2409
191.8 IPS |
|
|
Object Detection (Q)
|
94% |
1724
137.4 IPS |
|
|
Face Detection (SP)
|
100% |
3231
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
5342
63.5 IPS |
|
|
Face Detection (Q)
|
100% |
3127
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5789
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10745
83.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7352
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22306
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34757
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26941
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4433
163.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6401
236.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4086
150.9 IPS |
|
|
Text Classification (SP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3999
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4068
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3414
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3485
60.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4923
85.1 IPS |
