MacBook Pro (16-inch, 2023)
Geekbench AI Score
4193
Single Precision Score
6777
Half Precision Score
5328
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Buschiiiii |
| Upload Date | October 09 2024 10:56 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 3.66 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1383
257.3 IPS |
|
|
Image Classification (HP)
|
100% |
2288
425.5 IPS |
|
|
Image Classification (Q)
|
96% |
1693
316.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1717
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2719
44.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3050
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13078
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
25572
29.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19231
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
1699
134.8 IPS |
|
|
Object Detection (HP)
|
97% |
2713
216.0 IPS |
|
|
Object Detection (Q)
|
94% |
2015
160.6 IPS |
|
|
Face Detection (SP)
|
100% |
3684
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
5841
69.4 IPS |
|
|
Face Detection (Q)
|
100% |
3503
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6293
48.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12073
93.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8162
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24974
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39389
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29657
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5100
188.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6930
255.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4438
163.9 IPS |
|
|
Text Classification (SP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3926
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3893
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4649
80.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6273
108.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6295
108.8 IPS |
