MacBook Pro (14-inch, 2024)
Geekbench AI Score
21212
Single Precision Score
23870
Half Precision Score
22010
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | stncttr908 |
| Upload Date | July 01 2025 12:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9707
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
10146
1.89 KIPS |
|
|
Image Classification (Q)
|
96% |
9006
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20419
331.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21252
344.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20141
326.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
80390
93.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
86207
100.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
83488
97.8 IPS |
|
|
Object Detection (SP)
|
100% |
8314
659.5 IPS |
|
|
Object Detection (HP)
|
100% |
9457
750.1 IPS |
|
|
Object Detection (Q)
|
92% |
8626
688.6 IPS |
|
|
Face Detection (SP)
|
100% |
35487
421.7 IPS |
|
|
Face Detection (HP)
|
100% |
40177
477.4 IPS |
|
|
Face Detection (Q)
|
100% |
32710
388.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
43216
333.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
45029
346.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
40639
317.4 IPS |
|
|
Style Transfer (SP)
|
100% |
189996
244.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203269
261.3 IPS |
|
|
Style Transfer (Q)
|
96% |
192776
248.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27329
1.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
26802
989.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23372
863.0 IPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5510
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5383
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
5937
102.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6292
108.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6336
109.5 IPS |
