MacBook Pro (16-inch, 2024)
Geekbench AI Score
23864
Single Precision Score
26658
Half Precision Score
24759
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | NightSmile96 |
| Upload Date | October 03 2025 04:39 PM |
| Views | 2 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10365
1.93 KIPS |
|
|
Image Classification (HP)
|
100% |
10678
1.99 KIPS |
|
|
Image Classification (Q)
|
96% |
9533
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23738
384.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24286
393.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23499
380.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
101869
118.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
111382
130.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
106482
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
9149
725.7 IPS |
|
|
Object Detection (HP)
|
100% |
9956
789.7 IPS |
|
|
Object Detection (Q)
|
92% |
9170
732.0 IPS |
|
|
Face Detection (SP)
|
100% |
39893
474.0 IPS |
|
|
Face Detection (HP)
|
100% |
43763
520.0 IPS |
|
|
Face Detection (Q)
|
100% |
36178
429.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
44609
343.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47243
364.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
43659
341.0 IPS |
|
|
Style Transfer (SP)
|
100% |
219445
282.1 IPS |
|
|
Style Transfer (HP)
|
100% |
239024
307.3 IPS |
|
|
Style Transfer (Q)
|
96% |
233895
301.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31036
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32334
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27246
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3267
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5689
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5729
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
6599
113.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6936
119.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6863
118.6 IPS |
