MacBook Pro (14-inch, 2024)
Geekbench AI Score
5387
Single Precision Score
37032
Half Precision Score
49604
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Dreaming_Night |
| Upload Date | June 10 2025 05:40 AM |
| Views | 8 |
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% |
2051
381.4 IPS |
|
|
Image Classification (HP)
|
100% |
17231
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
21802
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2285
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24053
389.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
32361
524.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17220
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122718
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
228759
268.1 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (HP)
|
100% |
19520
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
23568
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4717
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
44568
529.6 IPS |
|
|
Face Detection (Q)
|
100% |
54737
650.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8647
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
106260
818.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
176122
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
26364
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
237709
305.6 IPS |
|
|
Style Transfer (Q)
|
96% |
301732
389.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5948
219.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47162
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81642
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2886
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5688
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5988
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5575
96.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16178
278.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16675
288.2 IPS |
