MacBook Pro (16-inch, 2024)
Geekbench AI Score
23787
Single Precision Score
26286
Half Precision Score
24702
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | adammurnane |
| Upload Date | November 12 2025 03:00 AM |
| Views | 3 |
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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11090
2.06 KIPS |
|
|
Image Classification (HP)
|
100% |
10451
1.94 KIPS |
|
|
Image Classification (Q)
|
96% |
10452
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23658
383.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24615
399.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23082
374.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
101776
118.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
111049
129.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
106303
124.5 IPS |
|
|
Object Detection (SP)
|
100% |
8951
710.0 IPS |
|
|
Object Detection (HP)
|
100% |
9928
787.5 IPS |
|
|
Object Detection (Q)
|
92% |
9340
745.5 IPS |
|
|
Face Detection (SP)
|
100% |
40183
477.5 IPS |
|
|
Face Detection (HP)
|
100% |
43808
520.5 IPS |
|
|
Face Detection (Q)
|
100% |
36334
431.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
44193
340.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
46985
362.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
43479
339.6 IPS |
|
|
Style Transfer (SP)
|
100% |
218644
281.1 IPS |
|
|
Style Transfer (HP)
|
100% |
238062
306.0 IPS |
|
|
Style Transfer (Q)
|
96% |
231353
298.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29749
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30622
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26271
970.1 IPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5560
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5548
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
6442
111.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6656
114.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6631
114.6 IPS |
