MacBook Pro (16-inch, 2023)
Geekbench AI Score
4329
Single Precision Score
28904
Half Precision Score
32549
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | thecanadienguy |
| Upload Date | April 03 2026 09:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.5 (Build 25F5042g) |
| 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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1368
254.5 IPS |
|
|
Image Classification (HP)
|
100% |
14108
2.62 KIPS |
|
|
Image Classification (Q)
|
97% |
17314
3.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1651
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20121
326.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25677
416.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11937
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
107185
125.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
106167
124.4 IPS |
|
|
Object Detection (SP)
|
100% |
1628
129.1 IPS |
|
|
Object Detection (HP)
|
99% |
16106
1.28 KIPS |
|
|
Object Detection (Q)
|
89% |
17843
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3652
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
37930
450.7 IPS |
|
|
Face Detection (Q)
|
100% |
52082
618.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6117
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
88171
679.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
112143
877.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25279
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
208547
268.1 IPS |
|
|
Style Transfer (Q)
|
96% |
192025
247.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4929
182.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44206
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50351
1.86 KIPS |
|
|
Text Classification (SP)
|
99% |
4417
5.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6556
8.75 KIPS |
|
|
Text Classification (Q)
|
93% |
6510
8.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4291
73.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4109
70.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4311
74.5 IPS |
