MacBook Pro (16-inch, 2021)
Geekbench AI Score
2701
Single Precision Score
4104
Half Precision Score
3595
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 10:32 AM |
| Views | 2 |
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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1270
236.2 IPS |
|
|
Image Classification (HP)
|
100% |
1585
294.8 IPS |
|
|
Image Classification (Q)
|
96% |
1231
229.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1178
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1159
18.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1667
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5678
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
12848
15.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11131
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (HP)
|
97% |
1863
148.3 IPS |
|
|
Object Detection (Q)
|
94% |
1443
115.0 IPS |
|
|
Face Detection (SP)
|
100% |
2526
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
3797
45.1 IPS |
|
|
Face Detection (Q)
|
100% |
2603
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4905
37.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
7714
59.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
5943
46.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14462
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23543
30.3 IPS |
|
|
Style Transfer (Q)
|
96% |
20010
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3253
120.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4164
153.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3305
122.0 IPS |
|
|
Text Classification (SP)
|
100% |
2234
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3539
4.72 KIPS |
|
|
Text Classification (Q)
|
93% |
3514
4.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1429
24.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3034
52.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3046
52.6 IPS |
