MacBook Pro (16-inch, 2021)
Geekbench AI Score
9959
Single Precision Score
9735
Half Precision Score
8608
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | shuaijerry |
| Upload Date | August 15 2024 06:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4609
857.1 IPS |
|
|
Image Classification (HP)
|
100% |
4710
875.9 IPS |
|
|
Image Classification (Q)
|
99% |
4084
761.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
9477
153.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9599
155.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
9215
149.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
55992
65.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
59493
69.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
51701
60.6 IPS |
|
|
Object Detection (SP)
|
100% |
4716
374.1 IPS |
|
|
Object Detection (HP)
|
100% |
4996
396.3 IPS |
|
|
Object Detection (Q)
|
92% |
3978
317.5 IPS |
|
|
Face Detection (SP)
|
100% |
17366
206.3 IPS |
|
|
Face Detection (HP)
|
100% |
19035
226.2 IPS |
|
|
Face Detection (Q)
|
100% |
13148
156.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
25918
199.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
27194
209.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
27258
210.8 IPS |
|
|
Style Transfer (SP)
|
100% |
95527
122.8 IPS |
|
|
Style Transfer (HP)
|
100% |
118007
151.7 IPS |
|
|
Style Transfer (Q)
|
100% |
116114
149.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17086
630.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17542
647.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13032
482.8 IPS |
|
|
Text Classification (SP)
|
100% |
1242
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
543
724.4 IPS |
|
|
Text Classification (Q)
|
93% |
618
829.0 IPS |
|
|
Machine Translation (SP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
978
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
862
14.9 IPS |
