MacBook Pro (14-inch, 2023)
Geekbench AI Score
4138
Single Precision Score
27217
Half Precision Score
30730
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | khodaparastan |
| Upload Date | April 28 2025 08:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,5 |
| Motherboard | Mac14,5 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1399
260.2 IPS |
|
|
Image Classification (HP)
|
100% |
14422
2.68 KIPS |
|
|
Image Classification (Q)
|
96% |
17592
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1641
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19778
320.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24848
402.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12908
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
105971
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105405
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
1684
133.6 IPS |
|
|
Object Detection (HP)
|
99% |
15930
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
17578
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3575
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
34897
414.7 IPS |
|
|
Face Detection (Q)
|
100% |
46194
548.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6208
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
88590
682.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
111651
872.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24828
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
204731
263.2 IPS |
|
|
Style Transfer (Q)
|
96% |
194460
250.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5096
188.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42479
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51041
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2392
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4215
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4178
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4401
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4088
70.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4336
74.9 IPS |
