MacBook Pro (16-inch, 2024)
Geekbench AI Score
23328
Single Precision Score
25919
Half Precision Score
23934
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Loplop |
| Upload Date | September 12 2025 08:37 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
10243
1.90 KIPS |
|
|
Image Classification (HP)
|
100% |
10165
1.89 KIPS |
|
|
Image Classification (Q)
|
96% |
9241
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22895
371.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23959
388.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23038
373.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
105741
123.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
108717
126.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
104460
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
8677
688.2 IPS |
|
|
Object Detection (HP)
|
100% |
10015
794.4 IPS |
|
|
Object Detection (Q)
|
92% |
9183
733.0 IPS |
|
|
Face Detection (SP)
|
100% |
39742
472.2 IPS |
|
|
Face Detection (HP)
|
100% |
42453
504.4 IPS |
|
|
Face Detection (Q)
|
100% |
34126
405.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
44168
340.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
46579
358.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
43022
336.1 IPS |
|
|
Style Transfer (SP)
|
100% |
219400
282.0 IPS |
|
|
Style Transfer (HP)
|
100% |
233919
300.7 IPS |
|
|
Style Transfer (Q)
|
96% |
224752
290.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31056
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31500
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26442
976.4 IPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5336
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5329
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
6333
109.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6638
114.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6497
112.3 IPS |
