MacBook Pro (14-inch, 2024)
Geekbench AI Score
5307
Single Precision Score
37688
Half Precision Score
51038
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 20 2025 10:10 AM |
| Views | 3 |
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% |
2028
377.2 IPS |
|
|
Image Classification (HP)
|
100% |
18162
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
23030
4.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2299
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23291
377.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32228
522.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16777
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122272
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
227103
266.2 IPS |
|
|
Object Detection (SP)
|
100% |
2438
193.3 IPS |
|
|
Object Detection (HP)
|
100% |
20696
1.64 KIPS |
|
|
Object Detection (Q)
|
91% |
25275
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4525
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
43429
516.0 IPS |
|
|
Face Detection (Q)
|
100% |
60031
713.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8606
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
111276
857.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
182066
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
25087
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
236963
304.6 IPS |
|
|
Style Transfer (Q)
|
96% |
303989
392.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5958
220.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47481
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84044
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2922
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5892
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5942
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5472
94.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16860
290.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16969
293.2 IPS |
