MacBook Pro (14-inch, 2024)
Geekbench AI Score
5372
Single Precision Score
37744
Half Precision Score
51718
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Longfellow55 |
| Upload Date | July 13 2025 10:08 AM |
| Views | 6 |
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% |
2068
384.7 IPS |
|
|
Image Classification (HP)
|
100% |
18280
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
23856
4.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2327
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23909
387.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32348
524.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17155
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122662
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
229161
268.6 IPS |
|
|
Object Detection (SP)
|
100% |
2463
195.4 IPS |
|
|
Object Detection (HP)
|
100% |
19833
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
23912
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4620
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
42567
505.8 IPS |
|
|
Face Detection (Q)
|
100% |
67952
807.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8613
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
113914
877.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
179949
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
25409
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
238608
306.7 IPS |
|
|
Style Transfer (Q)
|
96% |
303698
391.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5988
221.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48732
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83437
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2882
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5883
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
6315
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5649
97.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16642
286.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16546
285.9 IPS |
