MacBook Pro (14-inch, 2024)
Geekbench AI Score
5375
Single Precision Score
36695
Half Precision Score
50290
Quantized Score
Geekbench AI 1.3.0 Corporate for macOS AArch64
Result Information
| Upload Date | June 20 2025 06:28 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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.2 IPS |
|
|
Image Classification (HP)
|
100% |
17335
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
23007
4.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2278
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23273
377.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32218
522.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17134
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122781
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
228811
268.2 IPS |
|
|
Object Detection (SP)
|
100% |
2483
196.9 IPS |
|
|
Object Detection (HP)
|
100% |
19713
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
23513
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4661
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
45563
541.4 IPS |
|
|
Face Detection (Q)
|
100% |
65833
782.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8662
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
110279
849.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
177543
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
25562
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
234347
301.3 IPS |
|
|
Style Transfer (Q)
|
96% |
303297
391.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5953
219.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46563
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79130
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2876
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5023
6.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5475
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5677
97.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16462
283.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16896
292.0 IPS |
