MacBook Pro (14-inch, 2024)
Geekbench AI Score
21295
Single Precision Score
23995
Half Precision Score
21248
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ciocan |
| Upload Date | September 17 2025 04:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10325
1.92 KIPS |
|
|
Image Classification (HP)
|
100% |
10512
1.95 KIPS |
|
|
Image Classification (Q)
|
96% |
9316
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23213
376.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23969
388.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23162
375.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
106163
123.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
108105
126.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
105091
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
8702
690.3 IPS |
|
|
Object Detection (HP)
|
100% |
10015
794.4 IPS |
|
|
Object Detection (Q)
|
92% |
9192
733.7 IPS |
|
|
Face Detection (SP)
|
100% |
38560
458.2 IPS |
|
|
Face Detection (HP)
|
100% |
42339
503.1 IPS |
|
|
Face Detection (Q)
|
100% |
35069
416.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
45507
350.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46645
359.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
42811
334.4 IPS |
|
|
Style Transfer (SP)
|
100% |
221371
284.6 IPS |
|
|
Style Transfer (HP)
|
100% |
234925
302.0 IPS |
|
|
Style Transfer (Q)
|
96% |
224003
289.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30015
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31705
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26785
989.0 IPS |
|
|
Text Classification (SP)
|
100% |
2942
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5365
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5316
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2525
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2940
50.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1880
32.5 IPS |
