MacBook Pro (16-inch, 2024)
Geekbench AI Score
23654
Single Precision Score
26461
Half Precision Score
24409
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 18 2025 07:40 PM |
| Views | 2 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10346
1.92 KIPS |
|
|
Image Classification (HP)
|
100% |
10477
1.95 KIPS |
|
|
Image Classification (Q)
|
96% |
9348
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23621
382.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24594
398.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
22945
372.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
101984
119.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
113197
132.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
106457
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
9330
740.1 IPS |
|
|
Object Detection (HP)
|
100% |
9957
789.8 IPS |
|
|
Object Detection (Q)
|
92% |
9320
744.0 IPS |
|
|
Face Detection (SP)
|
100% |
39611
470.7 IPS |
|
|
Face Detection (HP)
|
100% |
44892
533.4 IPS |
|
|
Face Detection (Q)
|
100% |
36447
433.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
44379
341.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47066
362.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
43417
339.1 IPS |
|
|
Style Transfer (SP)
|
100% |
216908
278.8 IPS |
|
|
Style Transfer (HP)
|
100% |
236348
303.8 IPS |
|
|
Style Transfer (Q)
|
96% |
229133
295.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29804
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31068
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26178
966.6 IPS |
|
|
Text Classification (SP)
|
100% |
3227
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5611
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5570
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
6431
110.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6658
114.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6675
115.4 IPS |
