MacBook Pro (16-inch, 2021)
Geekbench AI Score
11292
Single Precision Score
12347
Half Precision Score
11018
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | toothpaste |
| Upload Date | November 25 2024 10:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
4973
924.8 IPS |
|
|
Image Classification (HP)
|
100% |
5016
932.8 IPS |
|
|
Image Classification (Q)
|
97% |
4353
812.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
9971
161.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10274
166.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10321
167.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
56817
66.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
60128
70.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
55461
65.0 IPS |
|
|
Object Detection (SP)
|
100% |
5122
406.3 IPS |
|
|
Object Detection (HP)
|
100% |
5244
416.0 IPS |
|
|
Object Detection (Q)
|
91% |
4574
365.5 IPS |
|
|
Face Detection (SP)
|
100% |
21069
250.3 IPS |
|
|
Face Detection (HP)
|
100% |
22032
261.8 IPS |
|
|
Face Detection (Q)
|
100% |
16077
191.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
26107
201.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
26890
207.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
22566
176.4 IPS |
|
|
Style Transfer (SP)
|
100% |
96360
123.9 IPS |
|
|
Style Transfer (HP)
|
100% |
119853
154.1 IPS |
|
|
Style Transfer (Q)
|
96% |
112191
144.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16355
603.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16892
623.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13562
500.8 IPS |
|
|
Text Classification (SP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3882
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3864
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1188
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1089
18.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1085
18.7 IPS |
