MacBook Pro (16-inch, 2023)
Geekbench AI Score
11179
Single Precision Score
11830
Half Precision Score
10401
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 04 2025 04:50 PM |
| Views | 1 |
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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5333
991.8 IPS |
|
|
Image Classification (HP)
|
100% |
5581
1.04 KIPS |
|
|
Image Classification (Q)
|
97% |
4704
877.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8135
131.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8161
132.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8213
133.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
44307
51.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
47592
55.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
44294
51.9 IPS |
|
|
Object Detection (SP)
|
100% |
4985
395.4 IPS |
|
|
Object Detection (HP)
|
100% |
5166
409.8 IPS |
|
|
Object Detection (Q)
|
91% |
4329
345.9 IPS |
|
|
Face Detection (SP)
|
100% |
18173
215.9 IPS |
|
|
Face Detection (HP)
|
100% |
19369
230.1 IPS |
|
|
Face Detection (Q)
|
100% |
13551
161.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
25812
198.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
26907
207.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
22770
178.0 IPS |
|
|
Style Transfer (SP)
|
100% |
80133
103.0 IPS |
|
|
Style Transfer (HP)
|
100% |
85964
110.5 IPS |
|
|
Style Transfer (Q)
|
96% |
80013
103.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17442
644.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18704
690.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15360
567.2 IPS |
|
|
Text Classification (SP)
|
100% |
2271
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
4038
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3989
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2137
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1417
24.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1323
22.9 IPS |
