MacBook Pro (16-inch, 2023)
Geekbench AI Score
11398
Single Precision Score
12610
Half Precision Score
11110
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | January 09 2025 12:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
5715
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
5880
1.09 KIPS |
|
|
Image Classification (Q)
|
97% |
4959
925.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
8295
134.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8332
135.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8219
133.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
45336
52.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
48098
56.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
44554
52.2 IPS |
|
|
Object Detection (SP)
|
100% |
5191
411.7 IPS |
|
|
Object Detection (HP)
|
100% |
5337
423.3 IPS |
|
|
Object Detection (Q)
|
91% |
4531
362.1 IPS |
|
|
Face Detection (SP)
|
100% |
18335
217.9 IPS |
|
|
Face Detection (HP)
|
100% |
20478
243.3 IPS |
|
|
Face Detection (Q)
|
100% |
13991
166.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
26688
205.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
27817
214.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
23230
181.5 IPS |
|
|
Style Transfer (SP)
|
100% |
80631
103.7 IPS |
|
|
Style Transfer (HP)
|
100% |
86658
111.4 IPS |
|
|
Style Transfer (Q)
|
96% |
80918
104.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18194
671.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19227
710.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15580
575.3 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4009
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3999
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2003
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2125
36.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2126
36.7 IPS |
