MacBook Pro (14-inch, 2023)
Geekbench AI Score
13927
Single Precision Score
15227
Half Precision Score
14158
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | genevera |
| Upload Date | September 09 2025 06:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6349
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
6719
1.25 KIPS |
|
|
Image Classification (Q)
|
96% |
5956
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12633
204.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12064
195.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11880
192.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
61715
72.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
66442
77.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
63626
74.5 IPS |
|
|
Object Detection (SP)
|
100% |
6027
478.1 IPS |
|
|
Object Detection (HP)
|
100% |
6389
506.8 IPS |
|
|
Object Detection (Q)
|
92% |
5789
462.1 IPS |
|
|
Face Detection (SP)
|
100% |
25073
297.9 IPS |
|
|
Face Detection (HP)
|
100% |
25376
301.5 IPS |
|
|
Face Detection (Q)
|
100% |
20796
247.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
28724
221.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
29572
227.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
27301
213.2 IPS |
|
|
Style Transfer (SP)
|
100% |
114339
147.0 IPS |
|
|
Style Transfer (HP)
|
100% |
129500
166.5 IPS |
|
|
Style Transfer (Q)
|
96% |
126115
162.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19709
727.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21414
790.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18383
678.8 IPS |
|
|
Text Classification (SP)
|
100% |
2355
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4122
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4093
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2409
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2271
39.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2305
39.8 IPS |
