MacBook Pro (14-inch, 2024)
Geekbench AI Score
5516
Single Precision Score
38690
Half Precision Score
51858
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | stncttr908 |
| Upload Date | July 01 2025 12:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2122
394.6 IPS |
|
|
Image Classification (HP)
|
100% |
18424
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
23500
4.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23557
381.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31971
518.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17446
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122765
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231308
271.1 IPS |
|
|
Object Detection (SP)
|
100% |
2571
203.9 IPS |
|
|
Object Detection (HP)
|
100% |
19976
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24228
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4889
58.1 IPS |
|
|
Face Detection (HP)
|
100% |
45281
538.0 IPS |
|
|
Face Detection (Q)
|
100% |
61350
729.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8794
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
111531
859.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
179353
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
25340
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
239011
307.3 IPS |
|
|
Style Transfer (Q)
|
96% |
297426
383.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6059
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48435
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83951
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
7311
9.76 KIPS |
|
|
Text Classification (Q)
|
93% |
7303
9.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
6060
104.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16522
284.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16651
287.8 IPS |
