MacBook Pro (14-inch, 2021)
Geekbench AI Score
1981
Single Precision Score
12602
Half Precision Score
10471
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | mitgeek |
| Upload Date | September 10 2024 02:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
932
173.4 IPS |
|
|
Image Classification (HP)
|
100% |
7237
1.35 KIPS |
|
|
Image Classification (Q)
|
96% |
6392
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
663
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3870
62.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
483
7.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
10086
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
69335
80.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65089
76.3 IPS |
|
|
Object Detection (SP)
|
100% |
1087
86.2 IPS |
|
|
Object Detection (HP)
|
99% |
7526
598.7 IPS |
|
|
Object Detection (Q)
|
93% |
7209
575.2 IPS |
|
|
Face Detection (SP)
|
100% |
1899
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
10280
122.1 IPS |
|
|
Face Detection (Q)
|
100% |
11847
140.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3227
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
46292
356.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
54912
429.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12137
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
118269
152.0 IPS |
|
|
Style Transfer (Q)
|
96% |
115264
148.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2067
76.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18760
692.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23169
855.5 IPS |
|
|
Text Classification (SP)
|
100% |
574
766.6 IPS |
|
|
Text Classification (HP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (Q)
|
93% |
3306
4.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1560
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1915
33.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1906
32.9 IPS |
