MacBook Pro (16-inch, 2024)
Geekbench AI Score
23729
Single Precision Score
26308
Half Precision Score
24524
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | studdmnky |
| Upload Date | November 18 2025 05:27 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
10292
1.91 KIPS |
|
|
Image Classification (HP)
|
100% |
10490
1.95 KIPS |
|
|
Image Classification (Q)
|
96% |
10091
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23332
378.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24005
389.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22943
371.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
102323
119.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
111251
129.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
106298
124.5 IPS |
|
|
Object Detection (SP)
|
100% |
9164
726.9 IPS |
|
|
Object Detection (HP)
|
100% |
9874
783.2 IPS |
|
|
Object Detection (Q)
|
92% |
9073
724.2 IPS |
|
|
Face Detection (SP)
|
100% |
40996
487.1 IPS |
|
|
Face Detection (HP)
|
100% |
44827
532.6 IPS |
|
|
Face Detection (Q)
|
100% |
35997
427.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
44432
342.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
46945
361.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
42990
335.8 IPS |
|
|
Style Transfer (SP)
|
100% |
221123
284.3 IPS |
|
|
Style Transfer (HP)
|
100% |
235611
302.9 IPS |
|
|
Style Transfer (Q)
|
96% |
229766
296.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30000
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30885
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26326
972.1 IPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5643
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5644
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
6391
110.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6646
114.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6671
115.3 IPS |
