MacBook Pro (16-inch, 2024)
Geekbench AI Score
5775
Single Precision Score
37003
Half Precision Score
49785
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 22 2025 02:55 AM |
| Views | 2 |
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 (16-inch, 2024) |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2159
401.5 IPS |
|
|
Image Classification (HP)
|
100% |
17594
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
21022
3.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2310
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23492
380.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31874
516.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17273
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122414
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
228203
267.5 IPS |
|
|
Object Detection (SP)
|
100% |
2573
204.1 IPS |
|
|
Object Detection (HP)
|
100% |
19849
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
23601
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
5080
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
44160
524.7 IPS |
|
|
Face Detection (Q)
|
100% |
63521
754.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8828
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104476
804.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
176559
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
30708
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
237318
305.1 IPS |
|
|
Style Transfer (Q)
|
96% |
325838
420.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6923
255.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48781
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77507
2.86 KIPS |
|
|
Text Classification (SP)
|
100% |
3265
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5522
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5509
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5981
103.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16252
279.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16612
287.1 IPS |
