MacBook Pro (16-inch, 2024)
Geekbench AI Score
6041
Single Precision Score
9548
Half Precision Score
7273
Quantized Score
Geekbench AI 1.5.0 Pro for macOS AArch64
Result Information
| User | f180n4cc1 |
| Upload Date | December 16 2025 02:34 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2192
407.7 IPS |
|
|
Image Classification (HP)
|
100% |
3049
566.9 IPS |
|
|
Image Classification (Q)
|
96% |
2170
405.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2452
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3556
57.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3995
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18449
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34640
40.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
27210
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
2736
217.0 IPS |
|
|
Object Detection (HP)
|
97% |
3951
314.5 IPS |
|
|
Object Detection (Q)
|
94% |
2794
222.7 IPS |
|
|
Face Detection (SP)
|
100% |
5332
63.4 IPS |
|
|
Face Detection (HP)
|
100% |
8800
104.6 IPS |
|
|
Face Detection (Q)
|
100% |
4880
58.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9088
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15298
118.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9844
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31450
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
58124
74.7 IPS |
|
|
Style Transfer (Q)
|
96% |
43556
56.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7170
264.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9669
357.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5413
199.9 IPS |
|
|
Text Classification (SP)
|
100% |
3277
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5685
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5662
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
6668
114.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9873
170.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9802
169.4 IPS |
