MacBook Pro (16-inch, 2023)
Geekbench AI Score
4191
Single Precision Score
26744
Half Precision Score
29957
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | November 10 2024 06:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.46 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1397
259.7 IPS |
|
|
Image Classification (HP)
|
100% |
14623
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
17299
3.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1699
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19435
315.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24613
399.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12895
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
105847
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104200
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1693
134.3 IPS |
|
|
Object Detection (HP)
|
99% |
14879
1.18 KIPS |
|
|
Object Detection (Q)
|
91% |
18245
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
3692
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
34792
413.4 IPS |
|
|
Face Detection (Q)
|
100% |
42500
505.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6512
50.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87916
677.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
109297
854.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25044
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
206368
265.3 IPS |
|
|
Style Transfer (Q)
|
96% |
195806
252.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5089
187.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42295
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48516
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3890
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3830
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4617
79.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4028
69.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4255
73.5 IPS |
