MacBook Pro (16-inch, 2021)
Geekbench AI Score
3794
Single Precision Score
16515
Half Precision Score
16384
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | holgr |
| Upload Date | November 03 2024 07:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1349
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
6936
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6645
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1660
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9846
159.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10440
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11132
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70845
82.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
66170
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
1587
125.9 IPS |
|
|
Object Detection (HP)
|
99% |
8059
641.1 IPS |
|
|
Object Detection (Q)
|
91% |
7540
602.5 IPS |
|
|
Face Detection (SP)
|
100% |
3324
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
15337
182.2 IPS |
|
|
Face Detection (Q)
|
100% |
14466
171.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5862
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
52169
401.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
54099
422.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22407
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120659
155.1 IPS |
|
|
Style Transfer (Q)
|
96% |
117203
151.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4401
162.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26123
964.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27967
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4012
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3995
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3527
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3827
65.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3930
67.9 IPS |
