MacBook Pro (14-inch, 2024)
Geekbench AI Score
5954
Single Precision Score
36384
Half Precision Score
49584
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Surinder |
| Upload Date | November 18 2025 01:27 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2205
410.0 IPS |
|
|
Image Classification (HP)
|
100% |
16832
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
20811
3.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2427
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22439
363.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32107
520.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18003
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122219
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
230242
269.9 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.6 IPS |
|
|
Object Detection (HP)
|
100% |
19152
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
24225
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
5215
62.0 IPS |
|
|
Face Detection (HP)
|
100% |
44157
524.7 IPS |
|
|
Face Detection (Q)
|
100% |
62791
746.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8974
69.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104425
804.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
176974
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
30765
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
231943
298.2 IPS |
|
|
Style Transfer (Q)
|
96% |
322981
416.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7182
265.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47132
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76510
2.83 KIPS |
|
|
Text Classification (SP)
|
100% |
3216
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5646
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5527
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
6556
112.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16160
278.4 IPS |
|
|
Machine Translation (Q)
|
98% |
15883
274.5 IPS |
