MacBook Pro (14-inch, 2024)
Geekbench AI Score
5383
Single Precision Score
37222
Half Precision Score
49768
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Moklonus |
| Upload Date | May 16 2025 09:55 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2069
384.8 IPS |
|
|
Image Classification (HP)
|
100% |
17977
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
21914
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2286
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23321
378.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32088
520.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17448
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122693
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
229989
269.6 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.8 IPS |
|
|
Object Detection (HP)
|
100% |
19992
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
23549
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4667
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
45534
541.0 IPS |
|
|
Face Detection (Q)
|
100% |
65597
779.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8648
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
108020
832.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
176628
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
25427
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
237746
305.6 IPS |
|
|
Style Transfer (Q)
|
96% |
302534
390.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5961
220.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48077
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79281
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2869
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
5333
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5314
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5689
98.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16561
285.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16578
286.5 IPS |
