MacBook Pro (16-inch, 2021)
Geekbench AI Score
2037
Single Precision Score
12683
Half Precision Score
12985
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | sfederman |
| Upload Date | August 23 2024 12:29 AM |
| Views | 8 |
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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
935
173.9 IPS |
|
|
Image Classification (HP)
|
100% |
7193
1.34 KIPS |
|
|
Image Classification (Q)
|
99% |
7426
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
669
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3866
62.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
3864
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10072
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
69199
80.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
65405
76.7 IPS |
|
|
Object Detection (SP)
|
100% |
939
74.5 IPS |
|
|
Object Detection (HP)
|
99% |
7493
596.1 IPS |
|
|
Object Detection (Q)
|
93% |
7157
571.1 IPS |
|
|
Face Detection (SP)
|
100% |
1905
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
11284
134.1 IPS |
|
|
Face Detection (Q)
|
100% |
11850
140.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3455
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46197
355.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
49532
383.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12204
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
117426
151.0 IPS |
|
|
Style Transfer (Q)
|
100% |
123465
158.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2251
83.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18710
690.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
22993
851.9 IPS |
|
|
Text Classification (SP)
|
100% |
876
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3451
4.61 KIPS |
|
|
Text Classification (Q)
|
93% |
3260
4.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1318
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1890
32.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1868
32.3 IPS |
