MacBook Pro (16-inch, 2021)
Geekbench AI Score
2046
Single Precision Score
12825
Half Precision Score
13209
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | cheltenham |
| Upload Date | August 17 2024 07:16 AM |
| Views | 10 |
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 (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| 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% |
940
174.8 IPS |
|
|
Image Classification (HP)
|
100% |
7224
1.34 KIPS |
|
|
Image Classification (Q)
|
99% |
7555
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
628
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3850
62.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
3849
62.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10102
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
69959
81.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
66803
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
1060
84.1 IPS |
|
|
Object Detection (HP)
|
99% |
7463
593.7 IPS |
|
|
Object Detection (Q)
|
93% |
7120
568.1 IPS |
|
|
Face Detection (SP)
|
100% |
1840
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
11223
133.4 IPS |
|
|
Face Detection (Q)
|
100% |
11932
141.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3451
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46157
355.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
49510
382.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12302
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
117855
151.5 IPS |
|
|
Style Transfer (Q)
|
100% |
123221
158.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2507
92.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18818
694.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23053
854.1 IPS |
|
|
Text Classification (SP)
|
100% |
667
890.6 IPS |
|
|
Text Classification (HP)
|
100% |
3801
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3698
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1557
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1899
32.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1884
32.6 IPS |
