MacBook Pro (16-inch, 2023)
Geekbench AI Score
11871
Single Precision Score
12859
Half Precision Score
11731
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | April 26 2025 10:37 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5331
991.4 IPS |
|
|
Image Classification (HP)
|
100% |
5598
1.04 KIPS |
|
|
Image Classification (Q)
|
96% |
5073
947.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
9215
149.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9159
148.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8784
142.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
44957
52.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
47433
55.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
45800
53.7 IPS |
|
|
Object Detection (SP)
|
100% |
5171
410.2 IPS |
|
|
Object Detection (HP)
|
100% |
5007
397.1 IPS |
|
|
Object Detection (Q)
|
92% |
4603
367.5 IPS |
|
|
Face Detection (SP)
|
100% |
18348
218.0 IPS |
|
|
Face Detection (HP)
|
100% |
19608
233.0 IPS |
|
|
Face Detection (Q)
|
100% |
16498
196.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
25785
198.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
26598
204.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
24645
192.7 IPS |
|
|
Style Transfer (SP)
|
100% |
80203
103.1 IPS |
|
|
Style Transfer (HP)
|
100% |
85446
109.8 IPS |
|
|
Style Transfer (Q)
|
96% |
83470
107.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17554
648.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18125
669.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16669
615.5 IPS |
|
|
Text Classification (SP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4125
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4177
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3113
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3047
52.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2225
38.5 IPS |
