MacBook Pro (14-inch, 2024)
Geekbench AI Score
5537
Single Precision Score
36847
Half Precision Score
50237
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Sly-RG |
| Upload Date | April 23 2025 06:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
2134
396.9 IPS |
|
|
Image Classification (HP)
|
100% |
17264
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
22112
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22912
371.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
31409
509.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17981
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122549
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
228713
268.1 IPS |
|
|
Object Detection (SP)
|
100% |
2576
204.4 IPS |
|
|
Object Detection (HP)
|
100% |
19857
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24947
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4803
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
45221
537.3 IPS |
|
|
Face Detection (Q)
|
100% |
63394
753.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8801
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104684
806.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
176832
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
26049
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
234698
301.7 IPS |
|
|
Style Transfer (Q)
|
96% |
296114
382.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6058
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46517
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78021
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5726
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6154
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
6023
103.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16198
279.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16214
280.2 IPS |
