MacBook Pro (14-inch, 2024)
Geekbench AI Score
23212
Single Precision Score
25751
Half Precision Score
23944
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | oman112 |
| Upload Date | May 26 2025 02:17 PM |
| Views | 9 |
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, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10506
1.95 KIPS |
|
|
Image Classification (HP)
|
100% |
10783
2.01 KIPS |
|
|
Image Classification (Q)
|
96% |
9279
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23237
376.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23604
382.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
22569
365.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
105837
123.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
107843
125.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
104491
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
8559
678.9 IPS |
|
|
Object Detection (HP)
|
100% |
10145
804.7 IPS |
|
|
Object Detection (Q)
|
92% |
9254
738.7 IPS |
|
|
Face Detection (SP)
|
100% |
39504
469.4 IPS |
|
|
Face Detection (HP)
|
100% |
40358
479.5 IPS |
|
|
Face Detection (Q)
|
100% |
35889
426.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
43995
339.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
46152
355.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
42370
331.0 IPS |
|
|
Style Transfer (SP)
|
100% |
219469
282.1 IPS |
|
|
Style Transfer (HP)
|
100% |
233367
300.0 IPS |
|
|
Style Transfer (Q)
|
96% |
220905
285.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29474
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30443
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26414
975.3 IPS |
|
|
Text Classification (SP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5343
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5312
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6249
107.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6514
112.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6490
112.2 IPS |
