MacBook Pro (16-inch, 2021)
Geekbench AI Score
3759
Single Precision Score
5793
Half Precision Score
4962
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | holgr |
| Upload Date | August 15 2024 05:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
2022
376.0 IPS |
|
|
Image Classification (Q)
|
99% |
2012
375.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1622
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
2403
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11270
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21872
25.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
16748
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.8 IPS |
|
|
Object Detection (HP)
|
97% |
2352
187.2 IPS |
|
|
Object Detection (Q)
|
94% |
1734
138.2 IPS |
|
|
Face Detection (SP)
|
100% |
3245
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
5252
62.4 IPS |
|
|
Face Detection (Q)
|
100% |
3080
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5890
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10855
83.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
10722
82.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22451
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35469
45.6 IPS |
|
|
Style Transfer (Q)
|
100% |
35338
45.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4370
161.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6336
234.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3981
147.5 IPS |
|
|
Text Classification (SP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3824
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3771
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3444
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3479
60.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3684
63.7 IPS |
