MacBook Pro (16-inch, 2024)
Geekbench AI Score
23482
Single Precision Score
26085
Half Precision Score
24245
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | c0de |
| Upload Date | September 17 2025 11:54 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 4.43 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10368
1.93 KIPS |
|
|
Image Classification (HP)
|
100% |
10548
1.96 KIPS |
|
|
Image Classification (Q)
|
96% |
9456
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23516
381.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24306
394.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23292
377.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
98450
114.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
106922
124.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
102869
120.5 IPS |
|
|
Object Detection (SP)
|
100% |
8962
710.9 IPS |
|
|
Object Detection (HP)
|
100% |
9774
775.3 IPS |
|
|
Object Detection (Q)
|
92% |
9085
725.2 IPS |
|
|
Face Detection (SP)
|
100% |
41507
493.2 IPS |
|
|
Face Detection (HP)
|
100% |
45613
542.0 IPS |
|
|
Face Detection (Q)
|
100% |
37908
450.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
44131
340.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
46419
357.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
41951
327.7 IPS |
|
|
Style Transfer (SP)
|
100% |
213920
275.0 IPS |
|
|
Style Transfer (HP)
|
100% |
234593
301.6 IPS |
|
|
Style Transfer (Q)
|
96% |
227064
293.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31271
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31656
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27183
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3271
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5549
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5588
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5914
101.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6241
107.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6217
107.4 IPS |
