MacBook Pro (14-inch, 2024)
Geekbench AI Score
5933
Single Precision Score
9366
Half Precision Score
7180
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 23 2025 04:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2197
408.7 IPS |
|
|
Image Classification (HP)
|
100% |
2993
556.6 IPS |
|
|
Image Classification (Q)
|
96% |
2162
403.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2430
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3448
55.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3923
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17904
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
34320
40.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
27013
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
97% |
3925
312.5 IPS |
|
|
Object Detection (Q)
|
94% |
2783
221.8 IPS |
|
|
Face Detection (SP)
|
100% |
5253
62.4 IPS |
|
|
Face Detection (HP)
|
100% |
8692
103.3 IPS |
|
|
Face Detection (Q)
|
100% |
4848
57.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8983
69.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15273
118.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9678
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30820
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
56822
73.0 IPS |
|
|
Style Transfer (Q)
|
96% |
43566
56.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7100
262.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9563
353.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5380
198.7 IPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5464
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5486
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
6470
111.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9483
163.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9468
163.6 IPS |
