MacBook Pro (16-inch, 2024)
Geekbench AI Score
23420
Single Precision Score
25945
Half Precision Score
24062
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 29 2025 08:33 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10618
1.97 KIPS |
|
|
Image Classification (HP)
|
100% |
10202
1.90 KIPS |
|
|
Image Classification (Q)
|
96% |
9294
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22973
372.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24117
391.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
22789
369.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
106415
124.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
108003
126.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
104417
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
8589
681.3 IPS |
|
|
Object Detection (HP)
|
100% |
10406
825.4 IPS |
|
|
Object Detection (Q)
|
92% |
9347
746.1 IPS |
|
|
Face Detection (SP)
|
100% |
39661
471.3 IPS |
|
|
Face Detection (HP)
|
100% |
41210
489.7 IPS |
|
|
Face Detection (Q)
|
100% |
35607
423.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
44285
341.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
47103
362.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
42901
335.1 IPS |
|
|
Style Transfer (SP)
|
100% |
221499
284.7 IPS |
|
|
Style Transfer (HP)
|
100% |
233433
300.1 IPS |
|
|
Style Transfer (Q)
|
96% |
218350
281.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31148
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31740
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26811
990.0 IPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5374
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5427
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
6211
107.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6467
111.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6486
112.1 IPS |
