MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4771
Single Precision Score
7435
Half Precision Score
5975
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HoukCC |
| Upload Date | December 04 2024 12:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1488
276.7 IPS |
|
|
Image Classification (HP)
|
100% |
2377
442.1 IPS |
|
|
Image Classification (Q)
|
96% |
1798
335.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1860
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2703
43.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3379
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16792
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
27691
32.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
21843
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
1961
155.6 IPS |
|
|
Object Detection (HP)
|
97% |
2919
232.4 IPS |
|
|
Object Detection (Q)
|
94% |
2169
172.9 IPS |
|
|
Face Detection (SP)
|
100% |
4003
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
6614
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
3955
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7340
56.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13285
102.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9170
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30712
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
44245
56.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33796
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5648
208.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7579
279.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5057
186.7 IPS |
|
|
Text Classification (SP)
|
100% |
2769
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
4840
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4765
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4752
81.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6979
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6824
117.9 IPS |
