MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4786
Single Precision Score
7432
Half Precision Score
5913
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HoukCC |
| Upload Date | August 18 2025 01:11 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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% |
1497
278.5 IPS |
|
|
Image Classification (HP)
|
100% |
2477
460.6 IPS |
|
|
Image Classification (Q)
|
96% |
1841
343.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1798
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2668
43.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3280
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16690
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29586
34.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
23056
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
1941
153.9 IPS |
|
|
Object Detection (HP)
|
97% |
2834
225.6 IPS |
|
|
Object Detection (Q)
|
94% |
2159
172.1 IPS |
|
|
Face Detection (SP)
|
100% |
4029
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
6755
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3969
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7309
56.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12846
99.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8414
65.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31031
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
46175
59.4 IPS |
|
|
Style Transfer (Q)
|
96% |
36080
46.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5701
210.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7351
271.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4608
170.2 IPS |
|
|
Text Classification (SP)
|
100% |
2857
3.81 KIPS |
|
|
Text Classification (HP)
|
99% |
4681
6.25 KIPS |
|
|
Text Classification (Q)
|
93% |
4665
6.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4859
83.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6730
116.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6712
116.0 IPS |
