MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
11883
Single Precision Score
14070
Half Precision Score
12537
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tamyururu |
| Upload Date | March 16 2025 06:52 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6158
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
6724
1.25 KIPS |
|
|
Image Classification (Q)
|
97% |
5536
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7574
122.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10095
163.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10764
174.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
45430
53.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
48334
56.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
45839
53.7 IPS |
|
|
Object Detection (SP)
|
100% |
6040
479.1 IPS |
|
|
Object Detection (HP)
|
100% |
6481
514.1 IPS |
|
|
Object Detection (Q)
|
91% |
5423
433.3 IPS |
|
|
Face Detection (SP)
|
100% |
17183
204.2 IPS |
|
|
Face Detection (HP)
|
100% |
22230
264.1 IPS |
|
|
Face Detection (Q)
|
100% |
16545
196.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27831
214.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
30128
232.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
26135
204.3 IPS |
|
|
Style Transfer (SP)
|
100% |
92930
119.5 IPS |
|
|
Style Transfer (HP)
|
100% |
106163
136.5 IPS |
|
|
Style Transfer (Q)
|
96% |
99176
128.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15039
555.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16492
609.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12468
460.4 IPS |
|
|
Text Classification (SP)
|
100% |
2806
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4937
6.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4929
6.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2340
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2471
42.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2459
42.5 IPS |
