MacBook Pro (14-inch, 2023)
Geekbench AI Score
3730
Single Precision Score
6276
Half Precision Score
4964
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | iJACguy |
| Upload Date | June 07 2025 04:03 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.43 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
914
170.0 IPS |
|
|
Image Classification (HP)
|
100% |
1695
315.2 IPS |
|
|
Image Classification (Q)
|
96% |
1230
229.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1201
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2043
33.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2396
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12436
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
25190
29.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
18897
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
1604
127.2 IPS |
|
|
Object Detection (HP)
|
97% |
2573
204.9 IPS |
|
|
Object Detection (Q)
|
94% |
1877
149.6 IPS |
|
|
Face Detection (SP)
|
100% |
3377
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
5444
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3214
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5949
45.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10868
84.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7582
59.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24575
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38099
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29291
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4919
181.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6382
235.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4387
162.0 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4114
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4039
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4259
73.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7143
123.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6884
119.0 IPS |
