MacBook Pro (16-inch, 2024)
Geekbench AI Score
5599
Single Precision Score
36263
Half Precision Score
49629
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | TooCasToo |
| Upload Date | October 31 2025 03:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2135
397.1 IPS |
|
|
Image Classification (HP)
|
100% |
16966
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
23065
4.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2357
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22695
367.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31525
511.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17904
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
122441
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
229732
269.3 IPS |
|
|
Object Detection (SP)
|
100% |
2629
208.6 IPS |
|
|
Object Detection (HP)
|
100% |
18726
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
23593
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
4915
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
45004
534.7 IPS |
|
|
Face Detection (Q)
|
100% |
59669
709.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8843
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104320
803.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
177624
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
26370
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
233298
299.9 IPS |
|
|
Style Transfer (Q)
|
96% |
297651
384.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6108
225.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45181
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77043
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5535
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5765
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
6188
106.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16263
280.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16417
283.7 IPS |
