MacBook Pro (14-inch, 2021)
Geekbench AI Score
2783
Single Precision Score
4184
Half Precision Score
3652
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | mitgeek |
| Upload Date | September 10 2024 01:59 AM |
| Views | 2 |
| Notes | mitgeek |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1286
239.1 IPS |
|
|
Image Classification (HP)
|
100% |
1618
300.8 IPS |
|
|
Image Classification (Q)
|
96% |
1264
236.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1196
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1181
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1688
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5654
6.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
13182
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11413
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (HP)
|
97% |
1904
151.6 IPS |
|
|
Object Detection (Q)
|
94% |
1477
117.8 IPS |
|
|
Face Detection (SP)
|
100% |
2673
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
3860
45.9 IPS |
|
|
Face Detection (Q)
|
100% |
2583
30.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5071
39.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
7904
61.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6052
47.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14825
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23684
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
20161
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3338
123.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4161
153.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3281
121.2 IPS |
|
|
Text Classification (SP)
|
100% |
2229
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3591
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3582
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1558
26.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3182
55.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3172
54.8 IPS |
