MacBook Pro (16-inch, 2021)
Geekbench AI Score
2740
Single Precision Score
4166
Half Precision Score
3448
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | cconnor |
| Upload Date | August 19 2024 11:38 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1259
234.1 IPS |
|
|
Image Classification (HP)
|
100% |
1609
299.2 IPS |
|
|
Image Classification (Q)
|
99% |
1608
299.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1200
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1188
19.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1181
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5617
6.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
13084
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11183
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1359
107.8 IPS |
|
|
Object Detection (HP)
|
97% |
1869
148.8 IPS |
|
|
Object Detection (Q)
|
94% |
1467
116.9 IPS |
|
|
Face Detection (SP)
|
100% |
2583
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
3883
46.1 IPS |
|
|
Face Detection (Q)
|
100% |
2585
30.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5039
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7799
60.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
3508
27.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14358
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23107
29.7 IPS |
|
|
Style Transfer (Q)
|
100% |
23186
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3234
119.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4239
156.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3235
119.8 IPS |
|
|
Text Classification (SP)
|
100% |
2231
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3637
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3586
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1538
26.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3123
54.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3134
54.2 IPS |
