MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4138
Single Precision Score
30714
Half Precision Score
34676
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Sikelik |
| Upload Date | August 08 2025 06:01 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1603
298.2 IPS |
|
|
Image Classification (HP)
|
100% |
16843
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
18695
3.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1863
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22498
364.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
27874
451.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8979
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121713
142.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
121532
142.4 IPS |
|
|
Object Detection (SP)
|
100% |
1813
143.8 IPS |
|
|
Object Detection (HP)
|
100% |
17422
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
20264
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3687
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
37119
441.1 IPS |
|
|
Face Detection (Q)
|
100% |
51667
613.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7147
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
97115
748.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
121256
948.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22255
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
225816
290.3 IPS |
|
|
Style Transfer (Q)
|
96% |
219629
283.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5239
193.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45355
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54783
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2893
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5195
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5034
6.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3410
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4849
83.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5162
89.2 IPS |
