MacBook Pro (14-inch, 2024)
Geekbench AI Score
19295
Single Precision Score
21978
Half Precision Score
19536
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | slongeard |
| Upload Date | July 24 2025 02:31 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
9147
1.70 KIPS |
|
|
Image Classification (HP)
|
100% |
9664
1.80 KIPS |
|
|
Image Classification (Q)
|
96% |
8932
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19866
322.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21114
342.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20076
325.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
80184
93.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
84686
98.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
83523
97.8 IPS |
|
|
Object Detection (SP)
|
100% |
8510
675.0 IPS |
|
|
Object Detection (HP)
|
100% |
9599
761.4 IPS |
|
|
Object Detection (Q)
|
92% |
8660
691.3 IPS |
|
|
Face Detection (SP)
|
100% |
34320
407.8 IPS |
|
|
Face Detection (HP)
|
100% |
36835
437.7 IPS |
|
|
Face Detection (Q)
|
100% |
31968
379.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
42381
326.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
44493
342.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
40249
314.4 IPS |
|
|
Style Transfer (SP)
|
100% |
186106
239.2 IPS |
|
|
Style Transfer (HP)
|
100% |
200150
257.3 IPS |
|
|
Style Transfer (Q)
|
96% |
193719
250.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26587
981.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26487
978.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23255
858.7 IPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5365
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5325
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2739
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3402
58.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2023
35.0 IPS |
