MacBook Pro (16-inch, 2021)
Geekbench AI Score
3736
Single Precision Score
13700
Half Precision Score
14116
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | AdrienRL |
| Upload Date | August 16 2024 03:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
1340
249.3 IPS |
|
|
Image Classification (HP)
|
100% |
6762
1.26 KIPS |
|
|
Image Classification (Q)
|
99% |
7176
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5897
95.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
5899
95.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11021
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
68652
80.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
64290
75.4 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (HP)
|
99% |
7232
575.3 IPS |
|
|
Object Detection (Q)
|
91% |
7426
593.4 IPS |
|
|
Face Detection (SP)
|
100% |
3272
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
11969
142.2 IPS |
|
|
Face Detection (Q)
|
100% |
13373
158.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5843
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
45445
350.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
48966
378.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22364
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
116545
149.8 IPS |
|
|
Style Transfer (Q)
|
100% |
122188
157.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4348
160.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25696
948.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27284
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2246
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3819
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3782
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3395
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1892
32.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1883
32.5 IPS |
