MacBook Pro (M2) MacBook Pro (16-inch, 2023)
Geekbench AI Score
4236
Single Precision Score
27081
Half Precision Score
30206
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Wolfgang1756 |
| Upload Date | December 15 2024 07:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,6 |
| Motherboard | Mac14,6 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1412
262.5 IPS |
|
|
Image Classification (HP)
|
100% |
14534
2.70 KIPS |
|
|
Image Classification (Q)
|
96% |
16882
3.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1753
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19463
315.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24571
398.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12829
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
106948
124.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105463
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
1706
135.3 IPS |
|
|
Object Detection (HP)
|
99% |
16189
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
17690
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3742
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
35391
420.5 IPS |
|
|
Face Detection (Q)
|
100% |
45403
539.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6503
50.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87417
673.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
109133
852.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25092
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
204210
262.5 IPS |
|
|
Style Transfer (Q)
|
96% |
191644
247.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5150
190.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41512
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49910
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4031
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4005
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4754
81.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4098
70.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4305
74.4 IPS |
