MacBook Pro (16-inch, 2024)
Geekbench AI Score
23305
Single Precision Score
26368
Half Precision Score
24348
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | xgrommx |
| Upload Date | October 16 2025 12:41 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
10103
1.88 KIPS |
|
|
Image Classification (HP)
|
100% |
10594
1.97 KIPS |
|
|
Image Classification (Q)
|
96% |
9430
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23205
376.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23881
387.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23039
373.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
101570
118.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
111380
130.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
106484
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
8297
658.1 IPS |
|
|
Object Detection (HP)
|
100% |
9842
780.7 IPS |
|
|
Object Detection (Q)
|
92% |
9077
724.5 IPS |
|
|
Face Detection (SP)
|
100% |
39161
465.3 IPS |
|
|
Face Detection (HP)
|
100% |
42961
510.5 IPS |
|
|
Face Detection (Q)
|
100% |
35548
422.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
43813
337.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46562
358.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
41914
327.4 IPS |
|
|
Style Transfer (SP)
|
100% |
217478
279.6 IPS |
|
|
Style Transfer (HP)
|
100% |
241656
310.7 IPS |
|
|
Style Transfer (Q)
|
96% |
230180
297.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30399
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31312
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26712
986.4 IPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5677
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5644
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
6485
111.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6820
117.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6745
116.6 IPS |
