MacBook Pro (16-inch, 2021)
Geekbench AI Score
3742
Single Precision Score
16452
Half Precision Score
16214
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 04:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
6866
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6525
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9856
159.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10441
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10575
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
71729
83.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
68059
79.8 IPS |
|
|
Object Detection (SP)
|
100% |
1596
126.6 IPS |
|
|
Object Detection (HP)
|
99% |
7983
635.0 IPS |
|
|
Object Detection (Q)
|
91% |
7437
594.3 IPS |
|
|
Face Detection (SP)
|
100% |
3240
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
15929
189.3 IPS |
|
|
Face Detection (Q)
|
100% |
14509
172.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5964
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
52295
402.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
53805
420.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21678
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
121608
156.3 IPS |
|
|
Style Transfer (Q)
|
96% |
117133
151.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4434
163.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25573
944.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27583
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3909
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3914
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3496
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3704
63.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3690
63.8 IPS |
