MacBook Pro (16-inch, 2023)
Geekbench AI Score
4202
Single Precision Score
27401
Half Precision Score
30782
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | December 29 2024 01:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1399
260.2 IPS |
|
|
Image Classification (HP)
|
100% |
15420
2.87 KIPS |
|
|
Image Classification (Q)
|
96% |
18898
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1744
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19952
323.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24684
400.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13002
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
106431
124.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104501
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1695
134.5 IPS |
|
|
Object Detection (HP)
|
99% |
15608
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17459
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3699
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
35731
424.6 IPS |
|
|
Face Detection (Q)
|
100% |
46203
549.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6361
49.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
88882
684.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
111977
875.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24867
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
205534
264.2 IPS |
|
|
Style Transfer (Q)
|
96% |
194657
251.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5148
190.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43059
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51487
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4051
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4027
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4602
79.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4101
70.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4299
74.3 IPS |
