MacBook Pro (14-inch, 2023)
Geekbench AI Score
15468
Single Precision Score
16976
Half Precision Score
15339
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | September 03 2025 10:26 PM |
| Views | 5 |
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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6815
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
6953
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6310
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13849
224.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13516
219.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13313
215.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
82238
96.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
87962
102.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
85537
100.2 IPS |
|
|
Object Detection (SP)
|
100% |
6418
509.0 IPS |
|
|
Object Detection (HP)
|
100% |
6660
528.3 IPS |
|
|
Object Detection (Q)
|
92% |
6206
495.4 IPS |
|
|
Face Detection (SP)
|
100% |
27382
325.4 IPS |
|
|
Face Detection (HP)
|
100% |
28405
337.5 IPS |
|
|
Face Detection (Q)
|
100% |
24975
296.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
32659
251.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
34166
263.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
31454
245.7 IPS |
|
|
Style Transfer (SP)
|
100% |
135190
173.8 IPS |
|
|
Style Transfer (HP)
|
100% |
153070
196.8 IPS |
|
|
Style Transfer (Q)
|
96% |
149346
192.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20005
738.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23685
874.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21117
779.7 IPS |
|
|
Text Classification (SP)
|
100% |
2381
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4132
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4038
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2734
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2484
42.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1617
27.9 IPS |
