MacBook Pro (16-inch, 2024)
Geekbench AI Score
4248
Single Precision Score
7040
Half Precision Score
5297
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | vksvicky |
| Upload Date | December 19 2025 10:36 PM |
| Views | 6 |
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 | 2.87 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1612
299.7 IPS |
|
|
Image Classification (HP)
|
100% |
2280
423.9 IPS |
|
|
Image Classification (Q)
|
96% |
1600
298.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1799
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2638
42.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2749
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11732
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
25778
30.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
19663
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
1922
152.5 IPS |
|
|
Object Detection (HP)
|
97% |
2932
233.4 IPS |
|
|
Object Detection (Q)
|
94% |
2005
159.8 IPS |
|
|
Face Detection (SP)
|
100% |
3583
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
6185
73.5 IPS |
|
|
Face Detection (Q)
|
100% |
3348
39.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6391
49.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
11106
85.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
7616
59.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24053
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
42341
54.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31350
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5503
203.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7374
272.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4043
149.3 IPS |
|
|
Text Classification (SP)
|
100% |
2436
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
4191
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4180
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3971
68.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7326
126.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7425
128.3 IPS |
