MacBook Pro (16-inch, 2024)
Geekbench AI Score
4397
Single Precision Score
7017
Half Precision Score
5185
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 19 2026 03:16 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 2.86 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1597
296.9 IPS |
|
|
Image Classification (HP)
|
100% |
2349
436.8 IPS |
|
|
Image Classification (Q)
|
96% |
1530
285.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2611
42.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2720
44.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13762
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25753
30.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
19652
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
1937
153.7 IPS |
|
|
Object Detection (HP)
|
97% |
2875
228.9 IPS |
|
|
Object Detection (Q)
|
94% |
1963
156.5 IPS |
|
|
Face Detection (SP)
|
100% |
3625
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
6158
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
3301
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6514
50.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
11145
86.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
7086
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23351
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
42013
54.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31297
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5479
202.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7451
275.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4068
150.2 IPS |
|
|
Text Classification (SP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
4183
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4140
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4875
84.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7092
122.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7100
122.7 IPS |
