MacBook Pro (16-inch, 2023)
Geekbench AI Score
10418
Single Precision Score
11537
Half Precision Score
10154
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | November 10 2024 06:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,10 |
| Motherboard | Mac14,10 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5213
969.4 IPS |
|
|
Image Classification (HP)
|
100% |
5379
1.00 KIPS |
|
|
Image Classification (Q)
|
97% |
4533
845.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7999
129.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8100
131.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8127
131.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
44849
52.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
47382
55.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
44226
51.8 IPS |
|
|
Object Detection (SP)
|
100% |
5038
399.6 IPS |
|
|
Object Detection (HP)
|
100% |
5047
400.4 IPS |
|
|
Object Detection (Q)
|
91% |
4281
342.1 IPS |
|
|
Face Detection (SP)
|
100% |
17886
212.5 IPS |
|
|
Face Detection (HP)
|
100% |
19289
229.2 IPS |
|
|
Face Detection (Q)
|
100% |
13642
162.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
25709
198.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
26826
206.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
22622
176.8 IPS |
|
|
Style Transfer (SP)
|
100% |
79866
102.7 IPS |
|
|
Style Transfer (HP)
|
100% |
85793
110.3 IPS |
|
|
Style Transfer (Q)
|
96% |
80130
103.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17344
640.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18020
665.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15155
559.6 IPS |
|
|
Text Classification (SP)
|
100% |
2237
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3879
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3820
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1122
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1293
22.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1167
20.2 IPS |
