MacBook Pro (16-inch, 2021)
Geekbench AI Score
3643
Single Precision Score
15861
Half Precision Score
15617
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 29 2024 01:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1288
239.5 IPS |
|
|
Image Classification (HP)
|
100% |
6555
1.22 KIPS |
|
|
Image Classification (Q)
|
96% |
6150
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9573
155.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10074
163.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10523
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
70338
82.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66773
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
1534
121.7 IPS |
|
|
Object Detection (HP)
|
99% |
7474
594.5 IPS |
|
|
Object Detection (Q)
|
91% |
7006
559.8 IPS |
|
|
Face Detection (SP)
|
100% |
3173
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
15052
178.9 IPS |
|
|
Face Detection (Q)
|
100% |
13456
159.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5514
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
50349
387.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
51859
405.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21916
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119182
153.2 IPS |
|
|
Style Transfer (Q)
|
96% |
115821
149.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4306
159.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25968
958.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27756
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2245
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3978
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3997
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3379
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3274
56.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3322
57.4 IPS |
