MacBook Pro (14-inch, 2024)
Geekbench AI Score
5769
Single Precision Score
37373
Half Precision Score
47878
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | stingus |
| Upload Date | February 15 2025 02:16 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2072
385.3 IPS |
|
|
Image Classification (HP)
|
100% |
17292
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
23502
4.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2525
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23139
375.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32040
519.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18938
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123470
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
229822
269.4 IPS |
|
|
Object Detection (SP)
|
100% |
2478
196.5 IPS |
|
|
Object Detection (HP)
|
100% |
20229
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
23666
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
4549
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
44735
531.5 IPS |
|
|
Face Detection (Q)
|
100% |
55507
659.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8722
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
111339
857.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
177685
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35340
45.4 IPS |
|
|
Style Transfer (HP)
|
100% |
237227
305.0 IPS |
|
|
Style Transfer (Q)
|
96% |
305151
393.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7016
259.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46697
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78162
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2933
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5948
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
4071
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5771
99.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16211
279.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16140
278.9 IPS |
