MacBook Pro (14-inch, 2021)
Geekbench AI Score
2070
Single Precision Score
12716
Half Precision Score
10436
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | schammah |
| Upload Date | November 30 2024 08:50 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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% |
909
169.1 IPS |
|
|
Image Classification (HP)
|
100% |
7238
1.35 KIPS |
|
|
Image Classification (Q)
|
96% |
6605
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3875
62.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
432
7.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
9951
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
69408
81.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
66788
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
1039
82.4 IPS |
|
|
Object Detection (HP)
|
99% |
7492
595.9 IPS |
|
|
Object Detection (Q)
|
93% |
7191
573.8 IPS |
|
|
Face Detection (SP)
|
100% |
1748
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
11456
136.1 IPS |
|
|
Face Detection (Q)
|
100% |
11903
141.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3575
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
45982
354.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
55446
433.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12357
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
117619
151.2 IPS |
|
|
Style Transfer (Q)
|
96% |
114837
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2820
104.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18730
691.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23229
857.7 IPS |
|
|
Text Classification (SP)
|
100% |
694
925.7 IPS |
|
|
Text Classification (HP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (Q)
|
93% |
3385
4.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1494
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1906
32.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1878
32.5 IPS |
