MacBook Pro (16-inch, 2023)
Geekbench AI Score
4121
Single Precision Score
27714
Half Precision Score
30850
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | fearlipe |
| Upload Date | November 05 2025 03:28 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,6 |
| Motherboard | Mac14,6 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.68 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1382
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
15281
2.84 KIPS |
|
|
Image Classification (Q)
|
96% |
18111
3.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1705
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20214
327.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25061
406.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12206
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
106179
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104590
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
1633
129.6 IPS |
|
|
Object Detection (HP)
|
99% |
15954
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
17899
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3736
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
37128
441.2 IPS |
|
|
Face Detection (Q)
|
100% |
47486
564.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6224
48.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
88817
684.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
111151
868.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25755
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
204706
263.2 IPS |
|
|
Style Transfer (Q)
|
96% |
190156
245.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4841
178.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44510
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51516
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2418
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4085
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4077
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4292
73.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4163
71.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4360
75.3 IPS |
