MacBook Pro (16-inch, 2021)
Geekbench AI Score
10888
Single Precision Score
12449
Half Precision Score
10793
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | netdevil |
| Upload Date | November 09 2024 07:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 3.17 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5149
957.6 IPS |
|
|
Image Classification (HP)
|
100% |
5204
967.8 IPS |
|
|
Image Classification (Q)
|
97% |
3839
716.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
10203
165.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10544
170.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10122
164.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
57028
66.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
61033
71.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
54766
64.2 IPS |
|
|
Object Detection (SP)
|
100% |
3756
297.9 IPS |
|
|
Object Detection (HP)
|
100% |
5164
409.6 IPS |
|
|
Object Detection (Q)
|
91% |
4138
330.6 IPS |
|
|
Face Detection (SP)
|
100% |
21951
260.8 IPS |
|
|
Face Detection (HP)
|
100% |
23059
274.0 IPS |
|
|
Face Detection (Q)
|
100% |
15727
186.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
26905
207.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
28481
219.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
21954
171.6 IPS |
|
|
Style Transfer (SP)
|
100% |
96250
123.7 IPS |
|
|
Style Transfer (HP)
|
100% |
120721
155.2 IPS |
|
|
Style Transfer (Q)
|
96% |
111794
144.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17144
633.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17642
651.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13005
480.2 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3989
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3919
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
927
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1239
21.4 IPS |
