MacBook Pro (14-inch, 2024)
Geekbench AI Score
5525
Single Precision Score
38144
Half Precision Score
50843
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | aferreiro77 |
| Upload Date | July 26 2025 02:31 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2130
396.1 IPS |
|
|
Image Classification (HP)
|
100% |
18304
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
22379
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22805
369.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
31450
509.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17773
20.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122379
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
229059
268.5 IPS |
|
|
Object Detection (SP)
|
100% |
2588
205.3 IPS |
|
|
Object Detection (HP)
|
100% |
20253
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
24461
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4787
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
44295
526.3 IPS |
|
|
Face Detection (Q)
|
100% |
60995
724.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8823
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
105418
812.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
180263
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
25981
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
231848
298.0 IPS |
|
|
Style Transfer (Q)
|
96% |
296094
382.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6049
223.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46722
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80534
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
7454
9.95 KIPS |
|
|
Text Classification (Q)
|
93% |
6598
8.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5980
103.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16715
287.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16922
292.4 IPS |
