MacBook Pro (14-inch, 2024)
Geekbench AI Score
5664
Single Precision Score
38068
Half Precision Score
51391
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | zhangleimoth |
| Upload Date | October 24 2025 09:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.30 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2070
385.0 IPS |
|
|
Image Classification (HP)
|
100% |
18471
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
22897
4.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2286
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23723
384.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
33399
541.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17005
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
121003
141.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232582
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2420
192.0 IPS |
|
|
Object Detection (HP)
|
100% |
20740
1.65 KIPS |
|
|
Object Detection (Q)
|
91% |
25161
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4681
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
44097
524.0 IPS |
|
|
Face Detection (Q)
|
100% |
63782
757.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8463
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
112036
863.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
179264
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
29807
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
239414
307.8 IPS |
|
|
Style Transfer (Q)
|
96% |
327083
422.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7168
264.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49176
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79927
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3589
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
5778
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5635
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5747
99.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17295
297.9 IPS |
|
|
Machine Translation (Q)
|
98% |
17046
294.6 IPS |
