MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4395
Single Precision Score
7287
Half Precision Score
5895
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 16 2025 01:11 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1507
280.3 IPS |
|
|
Image Classification (HP)
|
100% |
2417
449.5 IPS |
|
|
Image Classification (Q)
|
96% |
1813
338.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1792
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2659
43.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3289
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16593
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
27399
32.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
21671
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
1924
152.6 IPS |
|
|
Object Detection (HP)
|
97% |
2803
223.2 IPS |
|
|
Object Detection (Q)
|
94% |
2137
170.3 IPS |
|
|
Face Detection (SP)
|
100% |
3956
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
6432
76.4 IPS |
|
|
Face Detection (Q)
|
100% |
3823
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7168
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12361
95.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8653
67.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30392
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
40472
52.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33437
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5678
209.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7501
277.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5043
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
2728
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4911
6.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5019
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2340
40.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7225
124.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6564
113.4 IPS |
