MacBook Pro (16-inch, 2023)
Geekbench AI Score
4059
Single Precision Score
6833
Half Precision Score
5394
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | jpoley |
| Upload Date | November 23 2025 08:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1346
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
2263
420.9 IPS |
|
|
Image Classification (Q)
|
96% |
1626
303.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1661
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2436
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2862
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11785
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26464
30.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
20179
23.7 IPS |
|
|
Object Detection (SP)
|
100% |
1611
127.8 IPS |
|
|
Object Detection (HP)
|
97% |
2737
217.9 IPS |
|
|
Object Detection (Q)
|
94% |
1939
154.6 IPS |
|
|
Face Detection (SP)
|
100% |
3652
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
5950
70.7 IPS |
|
|
Face Detection (Q)
|
100% |
3365
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6062
46.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11421
88.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7873
61.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25266
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40321
51.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31686
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4904
181.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6500
240.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4443
164.1 IPS |
|
|
Text Classification (SP)
|
100% |
2420
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4078
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4056
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4315
74.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7660
132.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7581
131.0 IPS |
