MacBook Pro (14-inch, 2024)
Geekbench AI Score
5579
Single Precision Score
37208
Half Precision Score
50279
Quantized Score
Geekbench AI 1.3.0 Pro for macOS AArch64
Result Information
| User | mprimeaux |
| Upload Date | March 31 2025 09:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2116
393.6 IPS |
|
|
Image Classification (HP)
|
100% |
17898
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
22477
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2392
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22726
368.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33153
537.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18342
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122526
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
229528
269.0 IPS |
|
|
Object Detection (SP)
|
100% |
2632
208.8 IPS |
|
|
Object Detection (HP)
|
100% |
19157
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
23662
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
4913
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
45082
535.7 IPS |
|
|
Face Detection (Q)
|
100% |
55870
663.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8827
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104755
807.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
175712
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
25897
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
231619
297.7 IPS |
|
|
Style Transfer (Q)
|
96% |
297622
384.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6108
225.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46318
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85004
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6133
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6263
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5919
102.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17146
295.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16403
283.5 IPS |
