MacBook Pro (16-inch, 2023)
Geekbench AI Score
18022
Single Precision Score
19734
Half Precision Score
18552
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Itzamna |
| Upload Date | March 26 2026 10:48 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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 | 3.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6961
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
6995
1.30 KIPS |
|
|
Image Classification (Q)
|
94% |
6366
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15620
253.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15370
249.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
14934
242.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
82810
96.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
89588
104.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
85926
100.6 IPS |
|
|
Object Detection (SP)
|
100% |
6397
507.4 IPS |
|
|
Object Detection (HP)
|
100% |
6540
518.8 IPS |
|
|
Object Detection (Q)
|
91% |
6297
503.3 IPS |
|
|
Face Detection (SP)
|
100% |
28973
344.3 IPS |
|
|
Face Detection (HP)
|
100% |
29972
356.1 IPS |
|
|
Face Detection (Q)
|
100% |
27006
320.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
33711
259.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
34148
263.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
31837
248.9 IPS |
|
|
Style Transfer (SP)
|
100% |
136442
175.4 IPS |
|
|
Style Transfer (HP)
|
100% |
154139
198.1 IPS |
|
|
Style Transfer (Q)
|
96% |
151326
195.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19778
730.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24242
895.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21125
780.0 IPS |
|
|
Text Classification (SP)
|
100% |
4406
5.88 KIPS |
|
|
Text Classification (HP)
|
99% |
6895
9.20 KIPS |
|
|
Text Classification (Q)
|
92% |
6923
9.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5405
93.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5394
92.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4935
85.3 IPS |
