MacBook Pro (16-inch, 2021)
Geekbench AI Score
3762
Single Precision Score
13858
Half Precision Score
14271
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | holgr |
| Upload Date | August 15 2024 05:07 PM |
| Views | 3 |
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 | 3.17 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1336
248.4 IPS |
|
|
Image Classification (HP)
|
100% |
7001
1.30 KIPS |
|
|
Image Classification (Q)
|
99% |
7390
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1641
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5901
95.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
5906
95.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11267
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
69158
80.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
65674
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.0 IPS |
|
|
Object Detection (HP)
|
99% |
7441
591.9 IPS |
|
|
Object Detection (Q)
|
91% |
7442
594.7 IPS |
|
|
Face Detection (SP)
|
100% |
3219
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
12031
143.0 IPS |
|
|
Face Detection (Q)
|
100% |
13516
160.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5901
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
46210
356.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
48955
378.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22506
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
116825
150.2 IPS |
|
|
Style Transfer (Q)
|
100% |
122983
158.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4378
161.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25869
955.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27655
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2240
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3842
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3824
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3454
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1904
32.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1909
33.0 IPS |
