MacBook Pro (16-inch, 2023)
Geekbench AI Score
4170
Single Precision Score
6743
Half Precision Score
5345
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | lumisade |
| Upload Date | November 15 2024 05:50 AM |
| Views | 13 |
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 | 3.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1387
258.0 IPS |
|
|
Image Classification (HP)
|
100% |
2288
425.5 IPS |
|
|
Image Classification (Q)
|
96% |
1691
315.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1693
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2629
42.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3034
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13012
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
24942
29.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
19589
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
1687
133.8 IPS |
|
|
Object Detection (HP)
|
97% |
2707
215.5 IPS |
|
|
Object Detection (Q)
|
94% |
2021
161.1 IPS |
|
|
Face Detection (SP)
|
100% |
3577
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
5984
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3432
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6367
49.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12093
93.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8219
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25089
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38969
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30100
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5110
188.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6909
255.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4441
164.0 IPS |
|
|
Text Classification (SP)
|
100% |
2274
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3957
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3937
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4652
80.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6208
107.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6313
109.1 IPS |
